Published research articles in Machine Learning, AI and Data Science. More technical work and open-source contributions are on my GitHub.
IEEE Digital Xplore LibraryAccepted · September 2024
Predictive Maintenance in Automotive using Machine Learning
This research applies advanced ML techniques for predictive maintenance in automotive systems to minimize unplanned
downtime. High-frequency time-series sensor data from critical components like engines and brakes are analyzed using
supervised learning models - Random Forest, SVM and LSTM. Data preprocessing (noise reduction and feature engineering)
improves accuracy, while Grid Search and Cross-Validation tune hyperparameters. Feature importance is assessed via SHAP
for interpretability.
The study uses Scikit-learn, TensorFlow and PySpark for training, with distributed computing on Apache Hadoop and Spark
for large-scale data. Models are deployed on AWS Lambda for real-time failure prediction - demonstrating reduced
failure risk, improved reliability and lower maintenance costs. Accepted for publication in the IEEE Journal,
February 2025.
Int'l Journal of Applied Engineering & TechnologyDecember 2023
Optimizing Supply Chain Management Through Data Science and AI: A Data-Driven Approach
This research investigates the optimization of supply chain processes through advanced data analytics and machine
learning. We focus on enhancing efficiency and resilience by employing predictive analytics over large-scale datasets,
identifying operational bottlenecks and forecasting demand variability. The framework integrates statistical process
control, ML algorithms and real-time data processing using Python, R and SQL.
A hybrid approach combining descriptive and prescriptive analytics evaluates supply chain performance - lead time,
inventory turnover and order fulfillment. Case studies from manufacturing and logistics demonstrate the efficacy of
data-driven decision-making, underscoring the importance of data integration, ML models and simulation in achieving
supply-chain agility.